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articles/cognitive-services/QnAMaker/Concepts/azure-resources.md

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title: Azure resources - QnA Maker
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description: QnA Maker uses several Azure sources, each with a different purpose. Understanding how they are used individually allows you to plan for and select the correct pricing tier or know when to change your pricing tier. Understanding how they are used in combination allows you to find and fix problems when they occur.
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ms.topic: conceptual
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ms.date: 01/21/2020
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ms.date: 01/272020
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# Azure resources for QnA Maker

articles/cognitive-services/QnAMaker/Concepts/confidence-score.md

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ms.service: cognitive-services
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ms.subservice: qna-maker
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ms.topic: conceptual
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ms.date: 01/10/2020
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ms.date: 01/27/2020
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ms.author: diberry
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ms.custom: seodec18
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articles/cognitive-services/QnAMaker/Concepts/content-types.md

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description: Content types include many standard structured documents such as PDF, DOC, and TXT.
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services: cognitive-services
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ms.topic: conceptual
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# Content types of documents you can add to a knowledge base

articles/cognitive-services/QnAMaker/Concepts/data-sources-supported.md

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ms.service: cognitive-services
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ms.subservice: qna-maker
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ms.topic: conceptual
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ms.date: 01/09/2020
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ms.date: 01/27/2020
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ms.author: diberry
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---
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Version control for data is provided through the import/export features on the **Settings** page in the QnA Maker portal.
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Export your knowledge base as a `.tsv` or `.xls` file, then check in to your current source control.
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Export your knowledge base as a `.tsv` or `.xls` file, then check in to your current source control.
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## Next steps
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articles/cognitive-services/QnAMaker/Concepts/design-language-culture.md

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title: Design for language - QnA Maker
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description: The QnA Maker resource and all the knowledge bases inside that resource support a single language. The single language is necessary to provide the best answer results for a query.
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ms.topic: conceptual
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# Design knowledge base for content language

articles/cognitive-services/QnAMaker/Concepts/development-lifecycle-knowledge-base.md

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ms.service: cognitive-services
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ms.subservice: qna-maker
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ms.topic: conceptual
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ms.date: 01/27/2020
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This tight loop of test-update continues until you are satisfied with the results. Learn how to [test your knowledge base](../How-To/test-knowledge-base.md).
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For large KBs, use automated testing with the [generateAnswer API](../how-to/metadata-generateanswer-usage.md#get-answer-predictions-with-the-generateanswer-api) and the `isTest` body property which queries the `test` knowledge base instead of the published knowledge base.
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For large KBs, use automated testing with the [generateAnswer API](../how-to/metadata-generateanswer-usage.md#get-answer-predictions-with-the-generateanswer-api) and the `isTest` body property, which queries the `test` knowledge base instead of the published knowledge base.
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```json
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{
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Version control for data is provided through the import/export features on the **Settings** page in the QnA Maker portal.
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You can backup a knowledge base by exporting the knowledge base, in either `.tsv` or `.xls` format. Once exported, include this file as part of your regular source control check.
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You can back up a knowledge base by exporting the knowledge base, in either `.tsv` or `.xls` format. Once exported, include this file as part of your regular source control check.
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When you need to go back to a specific version, you need to import that file from your local system. An exported knowledge base **must** only be used via import on the **Settings** page. It can't be used as a file or URL document data source. This will replace questions and answers currently in the knowledge base with the contents of the imported file.
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articles/cognitive-services/QnAMaker/Concepts/integration-with-other-applications.md

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title: Integrate with other applications - QnA Maker
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description: Qna Maker integrates into client applications such as chat bots as well as with other natural language processing services such as Language Understanding (LUIS).
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# Design knowledge base for client applications
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Qna Maker integrates into client applications such as chat bots as well as with other natural language processing services such as Language Understanding (LUIS).
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QnA Maker integrates into client applications such as chat bots as well as with other natural language processing services such as Language Understanding (LUIS).
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## Integration with a conversational client
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## Next steps
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Learn development cycle [concepts](development-lifecycle-knowledge-base.md) for Qna Maker.
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Learn development cycle [concepts](development-lifecycle-knowledge-base.md) for QnA Maker.

articles/cognitive-services/QnAMaker/Concepts/knowledge-base.md

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title: Importing from data sources - QnA Maker
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description: A QnA Maker knowledge base consists of a set of question-and-answer (QnA) sets and optional metadata associated with each QnA pair.
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# Importing from data sources

articles/cognitive-services/QnAMaker/Concepts/query-knowledge-base.md

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title: Query the knowledge base - QnA Maker
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description: A knowledge base must be published. Once published, the knowledge base is queried at the runtime prediction endpoint using the generateAnswer API.
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# Query the knowledge base for answers

articles/cognitive-services/QnAMaker/Concepts/question-answer-set.md

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title: Design knowledge base - QnA Maker
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description: A QnA Maker knowledge base consists of a set of question-and-answer (QnA) sets and optional metadata associated with each QnA pair.
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# Question and answer set concepts

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